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Impact of Respiratory Motion on the Quantification of Pediatric Hepatic Steatosis Using Two Different Ultrasonography
Hyun Joo Shin1, Kyungchul Song2, Sinhye Hwang3
1Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea. lamer-22@yuhs.ac.
Insights
Respiratory motion does not significantly impact ultrasound attenuation imaging (ATI) or ultrasound-guided attenuation parameter (UGAP) measurements for hepatic steatosis in children. Excellent agreement was found for ATI, and good agreement for UGAP, between free-breathing and breath-holding states.
Area of Science:
- Medical Imaging
- Hepatology
- Pediatric Gastroenterology
Background:
- Hepatic steatosis quantification in pediatric patients is crucial for diagnosis and management.
- Ultrasound attenuation imaging (ATI) and ultrasound-guided attenuation parameter (UGAP) are emerging techniques for assessing liver fat content.
- The influence of respiratory motion on these quantitative ultrasound parameters in children is not well-established.
Purpose of the Study:
- To evaluate the impact of respiratory motion on hepatic steatosis quantification using ATI and UGAP in pediatric patients.
- To compare measurements obtained during free-breathing (FB) versus breath-holding (BH) states.
Main Methods:
- Retrospective analysis of pediatric patients (≤18 years) who underwent liver ultrasonography with ATI or UGAP.
- Measurements of median, interquartile range (IQR), and IQR/median values were compared between FB and BH states.
- Statistical analyses included Wilcoxon signed rank test, intraclass correlation coefficient (ICC), and linear regression.
Main Results:
- No significant difference in ATI or UGAP values was observed between FB and BH states across 83 pediatric patients.
- Excellent agreement (ICC=0.950) for median ATI and good agreement (ICC=0.786) for median UGAP were found between FB and BH.
- The IQR/median value showed a significant association with age in the normal liver group under FB using ATI (p=0.042).
Conclusions:
- Respiratory motion does not significantly affect hepatic steatosis quantification using ATI or UGAP in pediatric patients.
- ATI and UGAP measurements demonstrate good to excellent reliability between free-breathing and breath-holding techniques.
- Younger age may introduce measurement variability in ATI for normal livers during free-breathing.
Purpose:
This study aimed to investigate the effect of respiratory motion on hepatic steatosis quantification using ultrasound attenuation imaging (ATI) or ultrasound-guided attenuation parameter (UGAP) in pediatric patients.
Materials And Methods:
Pediatric patients (aged ≤18 years) who underwent liver ultrasonography (US) with ATI or UGAP between May 2022 and February 2023 were included retrospectively. Median, interquartile range (IQR), and IQR/median values were calculated in both free-breathing (FB) and breath-holding (BH) states. Subjects were divided into normal and fatty liver groups according to grayscale US. Wilcoxon signed rank test, intraclass correlation coefficient (ICC), and linear regression test were used.
Results:
A total of 83 patients (M:F=46:37, median age 10 years, range 6-17 years) was included, with 55 patients in the ATI group and 28 patients in the UGAP group. The measured values of ATI and UGAP were not significantly different between FB and BH. The ICC values between FB and BH states were 0.950 [95% confidence interval (CI) 0.916-0.971] for median ATI and 0.786 (95% CI 0.591-0.894) for median UGAP. FB and BH status did not significantly affect the median ATI and UGAP (p=0.852, 0.531, respectively). The IQR/median value showed a significant association with age only in the FB status of the normal group using ATI (β= -0.014, p=0.042).
Conclusion:
Respiratory motion does not significantly affect the measurement of ATI or UGAP. Median ATI value showed excellent agreement in FB and BH status, while UGAP showed good agreement. Younger age may affect measurement variability in FB status of the normal group using ATI.
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